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Bayesian Inference for Partially Identified Models

Bayesian Inference for Partially Identified Models

0 - Default Title
Description
This book shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIM
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
198
Release Date:
2020-06-30
Publication Date:
2020-06-30
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
036757053X
ISBN13:
9780367570538
GPSR Manufacturer Reference:
Weight:
310 g
Height:
156 cm
Width:
234 cm
Thickness:
11 cm
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